Senior Marketing Data Scientist - MMM & Causal Inference

Preply; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Learning & Development budget

Equity package

Relocation package to Barcelona Hub

Self-development time off

Job summary

Preply is looking for a Senior Data Scientist - Marketing to own and scale the Marketing Mix Model, turning complex outputs into actionable budget decisions across marketing and finance. You'll partner with product, marketing, and data engineers to design experiments and advance forecasting and attribution frameworks.

You will build self-serve platforms for budget planning and incrementality testing, collaborate with Databricks-based pipelines, and communicate findings in clear English to

Qualifications

• Hands-on MMM experience with practical budgeting impact.
• Strong Bayesian statistics applied to marketing mix modeling.
• Ability to translate MMM outputs into action for marketing and finance.
• Experimentation design and evaluation of incrementality tests.

Responsibilities

• Own the Marketing Mix Model end to end and scale it globally.
• Turn MMM outputs into strategic budget decisions with cross-functional partners.
• Design and run incrementality tests and geo experiments to measure ROI.
• Build a unified measurement framework linking MMM, attribution, and incrementality.
• Drive cross-company initiatives into experimentation platforms and forecasting.
• Develop a full-stack, self-service platform for budget planning and testing.

Skills

MMM experience

Python

SQL

Bayesian statistics

Experimentation

English proficiency

AI mindset

Problem-solving

Communication

Marketing experience

Tools

Databricks

Snowflake

Looker

Apache Spark

dbt

Airflow

Job description

Preply is looking for a Senior Data Scientist - Marketing to own and scale the Marketing Mix Model, turning complex outputs into actionable budget decisions across marketing and finance. You'll partner with product, marketing, and data engineers to design experiments and advance forecasting and attribution frameworks.

You will build self-serve platforms for budget planning and incrementality testing, collaborate with Databricks-based pipelines, and communicate findings in clear English to